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(version: 0)
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Comparing performance of:
inlinesy vs loopsy
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var array = [{ id: "1", value: "thing" }, { id: "2", value: undefined }, { id: "3", value: "bong" }, { id: "4", value: "bong" }, { id: "5", value: "king" }, ]; var tests = ["2", "3", "4", "5"] var locationIds = []
Tests:
inlinesy
[...new Set(array.filter((task) => tests.includes(task.id) && task.value!==undefined) .map((task2) => task2.value))]
loopsy
array.filter((task) => tests.some((testid) => task.id===testid)).forEach((t) => { if (t.value !== undefined) { locationIds.push(t.value) } })
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
inlinesy
loopsy
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.1.2 Safari/605.1.15
Browser/OS:
Safari 17 on Mac OS X 10.15.7
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Test name
Executions per second
inlinesy
1388391.8 Ops/sec
loopsy
1296900.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview of the Benchmark** The provided JSON represents a JavaScript microbenchmarking test case on MeasureThat.net. The benchmark aims to compare two approaches for filtering an array and pushing values into an array. **Script Preparation Code** The script preparation code defines an array `array` containing five objects with `id` and `value` properties: ```javascript var array = [ { id: "1", value: "thing" }, { id: "2", value: undefined }, { id: "3", value: "bong" }, { id: "4", value: "bong" }, { id: "5", value: "king" } ]; ``` This array serves as the input data for the benchmark. **Html Preparation Code** The HTML preparation code is empty (`null`), which means that no HTML snippet is provided to test. **Individual Test Cases** There are two individual test cases: 1. **inlinesy**: This test case filters the `array` using an inline filter and maps the resulting values to an array. ```javascript var benchmarkDefinition = array.filter((task) => tests.includes(task.id) && task.value !== undefined) .map((task2) => task2.value); ``` The `tests` array is used to select specific `id` values from the original `array`. The resulting filtered array's values are then mapped to a new array. 2. **loopsy**: This test case filters the `array` using an inline filter and iterates over the resulting values, pushing them into an `locationIds` array if they are not `undefined`. ```javascript var benchmarkDefinition = array.filter((task) => tests.some((testid) => task.id === testid)) .forEach((t) => { if (t.value !== undefined) { locationIds.push(t.value); } }); ``` Here, the `tests` array is used to select specific `id` values from the original `array`. The resulting filtered array's values are then iterated over, and each value is pushed into the `locationIds` array if it's not `undefined`. **Library: Lodash** In the `loopsy` test case, a library called Lodash is used. Specifically, the `some()` function from Lodash is used to iterate over the `tests` array and check if the current element matches any of its values. Lodash is a popular JavaScript utility library that provides various functions for tasks such as data manipulation, functional programming, and more. **Special JS Feature/Syntax** There are no special JavaScript features or syntaxes mentioned in this benchmark. Both test cases use standard JavaScript syntax and features. **Other Alternatives** If you wanted to write similar benchmarks using different approaches, here are some alternatives: 1. Using `filter()` with a callback function: Instead of using inline filters and maps, you could use the `filter()` method with a callback function to achieve the same result. 2. Using `forEach()` with an arrow function: Like in the `loopsy` test case, you could use the `forEach()` method with an arrow function to iterate over the filtered array's values. 3. Using a library like `Underscore.js`: Similar to Lodash, Underscore.js is another popular JavaScript utility library that provides various functions for tasks such as data manipulation and functional programming. Keep in mind that these alternatives might not provide the same performance benefits or results as the original benchmark, depending on the specific use case and requirements.
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